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IInception-CBAM-IBiGRU based fault diagnosis method for asynchronous motors

Abstract Aiming at the problems of insufficient extraction of asynchronous motor fault features by traditional deep learning algorithms and poor diagnosis of asynchronous motor faults in robust noise environments, this paper proposes an end-to-end fault diagnosis method for asynchronous motors based...

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Xehetasun bibliografikoak
Egile Nagusiak: Zhengting Li, Peiliang Wang, Zeyu yang, Xiangyang Li, Ruining Jia
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Nature Portfolio 2024-03-01
Saila:Scientific Reports
Sarrera elektronikoa:https://doi.org/10.1038/s41598-024-55367-0
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